MCP For Claude Marketplace
OneAI

OneAI MCP Connector for Claude

A+

Analyze text and media with OneAI Language Skills—summarize, extract entities, and transcribe audio directly through your AI agent.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect OneAI to any AI agent to process text, audio, and video using a library of pre-trained Language Skills through natural conversation.

What you can do

  • Text Analysis — Run synchronous pipelines to summarize articles, detect sentiments, and extract entities from text input using run_pipeline.
  • Large File Processing — Use asynchronous pipelines via run_async_pipeline for long documents or media files that require more processing time.
  • Audio Transcription — Convert audio and video files into text with specialized transcription skills.
  • Task Monitoring — Track the progress of long-running analysis tasks and retrieve results once completed using get_async_task_status.

How it works

  1. Subscribe to this server
  2. Enter your OneAI API Key
  3. Start processing content from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Content Creators — automatically summarize long articles or transcribe podcast episodes.
  • Data Analysts — extract structured entities and sentiments from customer feedback or emails.
  • Developers — integrate advanced NLP capabilities into your workflow without building custom models.
nlptranscriptionsummarizationtext-analysisai-skills

3 tools expose this connector's capabilities to your AI agent.

get_async_task_status

Check the status of an asynchronous OneAI pipeline task

run_async_pipeline

Provide either content_url or input text, plus steps. Run an asynchronous OneAI pipeline for large files or audio

run_pipeline

g., summarize, entities, sentiments). Run a synchronous OneAI language pipeline

See how to talk to your AI agent using OneAI.

Summarize this article and extract entities: [text]

I've processed the text using `run_pipeline`. Here is the summary: [Summary]. I also found these entities: [Entities].

Transcribe the audio at this URL: https://example.com/audio.mp3

I've started an asynchronous transcription task using `run_async_pipeline`. Your Task ID is `task_123`. You can check its status later.

Check the status of OneAI task task_123.

I've retrieved the status using `get_async_task_status`. The task is 'completed'. Here is the transcribed text: '...'

Use the `run_pipeline` tool. Provide your text in the `input` field and define the `steps` as a JSON array like `[{"skill":"summarize"}, {"skill":"entities"}]`.

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